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Glama

spool_update

Update filament spool details by correcting remaining weight after weighing, adjusting price per kilogram, or archiving empty spools.

Instructions

Correct a spool (e.g. after weighing it), change its price, or archive it when empty.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
archivedNo
spool_idYes
remaining_gNo
price_per_kgNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden, and it omits key traits: whether this is a partial update (unspecified fields preserved) or a replace, whether archived can be un-set, and what permissions or side effects apply. Only the archive-implies-empty hint gives any behavioral signal.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with three parallel clauses and no filler. Compact and readable, though the parenthetical example sits mid-sentence rather than leading.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a five-parameter mutation tool with no annotations, no output schema, and zero schema descriptions, this is thin. It communicates the main operations but leaves update semantics, required spool_id handling, and all result/error behavior unspecified.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% across five parameters, so the description must compensate. It conceptually covers three of them (remaining_g via weighing, price_per_kg via 'price', archived via 'archive') but says nothing about 'name' or the required 'spool_id', leaving real gaps.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the resource (spool) and three concrete operations it performs: correcting values, changing price, archiving. That is specific enough to separate it from spool_add and spool_assign, though 'correct a spool' is slightly soft phrasing for what is really a field update.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives three concrete use contexts — after weighing, price changes, archiving an empty spool — which tells the agent when this tool applies. It does not explicitly name alternatives (e.g. use spool_add to create, spool_assign to bind to a printer), so the guidance is contextual rather than exclusionary.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.